3 citations · 3 across the 4 of their papers we have counts for
6 papers
Duality for convex infinite optimization on linear spaces
Miguel A. Goberna, Michel Volle
This note establishes a limiting formula for the conic Lagrangian dual of a convex infinite optimization problem, correcting the classical version of Karney [Math. Programming 27 (…
Relaxed Lagrangian duality in convex infinite optimization: reverse strong duality and optimality
Nguyen Dinh, Miguel A. Goberna, Marco A. Lopez +1
We associate with each convex optimization problem posed on some locally convex space with an infinite index set T, and a given non-empty family H formed by finite subsets of T, a…
Relaxed Lagrangian duality in convex infinite optimization: reducibility and strong duality
Nguyen Dih, Miguel A. Goberna, Marco A. López +1
We associate with each convex optimization problem, posed on some locally convex space, with infinitely many constraints indexed by the set T, and a given non-empty family H of fin…
Primal-dual optimization conditions for the robust sum of functions with applications
Nguyen Dinh, Miguel A. Goberna, Michel Volle
This paper associates a dual problem to the minimization of an arbitrary linear perturbation of the robust sum function introduced in DOI 10.1007/s11228-019-00515-2. It provides an…
Duality for the robust sum of functions
Nguyen Dinh, Miguel A. Goberna, Michel Volle
In this paper we associate with an infinite family of real extended functions defined on a locally convex space, a sum, called robust sum, which is always well-defined. We also ass…
Characterizations of robust and stable duality for linearly perturbed uncertain optimization problems
Nguyen Dinh, Miguel A. Goberna, Marco A. López +1
We introduce a robust optimization model consisting in a family of perturbation functions giving rise to certain pairs of dual optimization problems in which the dual variable depe…